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Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.
ischool.berkeley.edu

SynapsePatents: AI-Driven Multi-Modal Retrieval-Augmented Generation for Advanced Patent Analytics

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world. The Master of Information and Data Science ...
IEEE

Efficient Satellite Image Retrieval Using Shearlet Transforms and Spiking Neurons-Based Liquid Autoencoder Model

Abstract: This paper introduces an innovative content-based image retrieval system for precise and effective retrieval of satellite images. The system integrates liquid autoencoders with shearlet ...
IEEE

Analysis, Design, and Implementation of an Information Retrieval Approach for QoS Optimization in Information-Centric Networking Using Hybrid Naming Schemes

Abstract: Understanding how the naming scheme applies in Information-Centric Networking (ICN) is critical for enhancing the user’s Quality of Service (QoS) during information retrieval. However, until ...
The Conversation

Developing lab‑grown human cartilage… using apples!

Karim Boumédiene does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
Scientific American

The chemist who taught AI to run the lab

Gabriel Gomes believes the future of chemistry is as much about flasks and fume hoods as it is about code. A chemical engineer at Carnegie Mellon University, Gomes works at the intersection of ...